Image reconstruction by domain transform manifold learning

28 April 2017

Papers citing "Image reconstruction by domain transform manifold learning"

50 / 99 papers shown

Title
Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems Tal Oved Beatrice Lena Chloé F. Najac Sheng Shen Matthew S. Rosen Andrew Webb Efrat Shimron MedIm 24 0 0 05 May 2025
Continuous Filtered Backprojection by Learnable Interpolation Network Hui Lin D. Zeng Qi Xie Zerui Mao Jianhua Ma Deyu Meng MedIm 17 0 0 03 May 2025
Physics-Driven Neural Compensation For Electrical Impedance Tomography Chuyu Wang Huiting Deng Dong Liu 22 0 0 25 Apr 2025
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 36 2 0 16 Sep 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 30 5 0 03 Jun 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 26 3 0 03 May 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 23 4 0 18 Jan 2024
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging Irfan Manisali Okyanus Oral F. Oktem 27 5 0 28 Dec 2023
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI Rui-jun Feng Qing Wu Jie Feng Huajun She Chunlei Liu Yuyao Zhang Hongjiang Wei 21 23 0 21 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 23 11 0 22 Oct 2023
TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction Zhenghong Zhou Huangxuan Zhao Jiemin Fang D. Xiang Lei Chen Lingxia Wu Feihong Wu Wenyu Liu Chuansheng Zheng Xinggang Wang 24 6 0 05 Sep 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 19 5 0 05 Aug 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 16 0 0 16 Jun 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen M. Rosen UQCV OOD 15 2 0 12 May 2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction Bo Zhou Jo Schlemper Neel Dey Seyed Sadegh Mohseni Salehi Kevin Sheth Chi Liu James S. Duncan M. Sofka OOD 32 17 0 18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 14 1 0 17 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 22 5 0 27 Jan 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 24 1 0 17 Jan 2023
Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm F. Hashimoto Yuya Onishi K. Ote H. Tashima T. Yamaya MedIm 25 12 0 22 Dec 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 11 26 0 22 Nov 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll T. Pock OOD MedIm DiffM 25 17 0 25 Oct 2022
DEEP $^2$ : Deep Learning Powered De-scattering with Excitation Patterning Navodini Wijethilake Mithunjha Anandakumar Cheng Zheng Peter T. C. So Murat Yildirim D. Wadduwage 14 1 0 19 Oct 2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation Rui-jun Feng Qing Wu Yuyao Zhang Hongjiang Wei 14 2 0 19 Oct 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 31 36 0 02 Sep 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction Mevan Ekanayake Kamlesh Pawar Mehrtash Harandi Gary Egan Zhaolin Chen ViT MedIm 19 7 0 18 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 24 184 0 12 Jul 2022
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas K. Maier OOD 14 2 0 04 Jul 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 13 1 0 15 Jun 2022
K-Space Transformer for Undersampled MRI Reconstruction Ziheng Zhao Tianjiao Zhang Weidi Xie Yanfeng Wang Ya-Qin Zhang MedIm 27 5 0 14 Jun 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 14 4 0 10 Jun 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 32 32 0 20 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang C. Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 33 14 0 07 May 2022
List-Mode PET Image Reconstruction Using Deep Image Prior K. Ote F. Hashimoto Yuya Onishi Takashi Isobe Yasuomi Ouchi MedIm 17 19 0 28 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio' Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 31 3 0 01 Apr 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 24 25 0 28 Feb 2022
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity Shayan Hundrieser Thomas Staudt Axel Munk OT 15 22 0 21 Feb 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction Bo Zhou Neel Dey Jo Schlemper S. Salehi Chi Liu James S. Duncan M. Sofka MedIm 30 56 0 26 Jan 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 16 4 0 25 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio' T. Leiner P. Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 20 87 0 23 Dec 2021
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information Jiahao Huang Weiping Ding Jun Lv Jingwen Yang Hao Dong Javier Del Ser Jun Xia Tiaojuan Ren Stephen Wong Guang Yang MedIm 11 18 0 10 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao H. Fu OOD 24 78 0 09 Dec 2021
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection Wenrui Li G. Buzzard Charles A. Bouman 17 3 0 09 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning Yuanyuan Yuan Qi Pang Shuai Wang AAML 29 18 0 09 Dec 2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI Zi Wang Chao Qian D. Guo Hongwei Sun Rushuai Li Bo Zhao X. Qu 21 50 0 09 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 30 511 0 15 Nov 2021
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography L. Koutsantonis Tiago Carneiro Emmanuel Kieffer Frédéric Pinel Pascal Bouvry 11 0 0 19 Oct 2021
$AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging$ AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging Yudong Yao Henry Chan S. Sankaranarayanan Prasanna Balaprakash R. Harder Mathew J. Cherukara 10 45 0 28 Sep 2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 36 14 0 20 Sep 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 11 0 0 21 Aug 2021
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds Tianyu Wang Yifeng Huang Didong Li 10 8 0 17 Aug 2021